AI Researcher | ML Engineer
Raghav Mishra
Building applied ML systems and research-driven products.
B.Tech (Hons.) in Computer Technology (AI). Focused on machine learning, deep learning, and LLM systems. I design end-to-end pipelines, develop research prototypes, and ship production-ready AI tooling.
Profile
About Me
I work across ML research, production-grade AI systems, and data engineering tooling.
Core Focus
Machine learning, deep learning, and large language models. I blend research with engineering to build systems that are reliable, interpretable, and production-ready.
Education
B.Tech (Hons.) in Computer Technology (Artificial Intelligence), Sage University, Indore (2024-2028). Class XII: 75.4% | Class X: 88.0%.
Industry
Experience
Machine Learning Engineer Intern
- Built a Streamlit UI wrapper over PySpark and AWS Glue orchestration for low-code pipeline authoring.
- Designed dual-inference backend using local SLMs and AWS Bedrock Claude for production inference.
- Engineered configuration-driven LLM orchestration with intent resolution and output validation.
- Packaged internal tooling to automate data engineering tasks at scale.
Open Source Contributor
- Fixed thread-safety issues in tree-sitter parser management and improved concurrency stability.
- Refactored parser instantiation to prevent shared mutable state across workers.
- Contributed to GSSoC 2026 AI code review platform with Neo4j and LangGraph.
Selected Work
Projects
DETR - Detection Transformer
End-to-end object detection with CNN backbone and transformer encoder-decoder.
LLM Finetuner
Parameter-efficient LLM training framework with a Gradio interface for low-VRAM tuning.
CardioPredict Pro
Ensemble ML system for cardiovascular risk prediction with interactive reporting.
Toolkit
Skills
Languages
ML / DL
Frameworks
Cloud + Databases
Credentials
Certifications
IP
Patents
Electronic Surveillance System
Indian Patent Application No.: 202621007402 A (Published: 13 March 2026)
Wearable Safety Helmet System
Indian Patent Application No.: 202621003592 A (Published: 27 February 2026)
Resume
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Contact
Open to AI research collaborations, ML engineering projects, and applied data systems.